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Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies |
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| Authors: | Presotto Luca Bettinardi Valentino Bagnalasta Matteo Scifo Paola Savi Annarita Vanoli Emilia Giovanna Fallanca Federico Picchio Maria Perani Daniela Gianolli Luigi De Bernardi Elisabetta |
| Institution: | 1.Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy ;2.Vita-Salute San Raffaele University, Milan, Italy ;3.School of Medicine and Surgery, University of Milano-Bicocca, via Cadore 48, Monza, 20900, Italy ;4.Bicocca Bioinformatics Biostatistics and Bioimaging Centre - B4, University of Milan-Bicocca, Monza, Italy ; |
| Abstract: | Journal of Digital Imaging - Deep learning (DL) strategies applied to magnetic resonance (MR) images in positron emission tomography (PET)/MR can provide synthetic attenuation correction (AC) maps,... |
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